J Pediatr Intensive Care 2022; 11(04): 300-307
DOI: 10.1055/s-0041-1725148
Original Article

Use of Electronic Health Records to Identify Exposure-Response Relationships in Critically Ill Children: An Example of Midazolam and Delirium

Kanecia O. Zimmerman
1   Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina, United States
2   Department of Pediatrics, Duke University Medical Center, Durham, North Carolina, United States
,
Tracy G. Spears
1   Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina, United States
,
1   Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina, United States
,
1   Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina, United States
,
Huali Wu
1   Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina, United States
,
1   Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina, United States
2   Department of Pediatrics, Duke University Medical Center, Durham, North Carolina, United States
,
Kevin M. Watt
1   Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina, United States
2   Department of Pediatrics, Duke University Medical Center, Durham, North Carolina, United States
,
Daniel K. Benjamin Jr.
1   Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina, United States
2   Department of Pediatrics, Duke University Medical Center, Durham, North Carolina, United States
,
Mara L. Becker
1   Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina, United States
,
3   Division of Critical Care Medicine, Weill Cornell Medical College, New York City, New York, United States
,
P. Brian Smith
1   Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina, United States
2   Department of Pediatrics, Duke University Medical Center, Durham, North Carolina, United States
› Author Affiliations

Funding The work for this project was supported by KL2TR001115–03.M.C.W. receives support for research from the National Institutes of Health (1R01-HD076676–01A1), National Institute of Allergy and Infectious Diseases (HHSN272201500006I and HHSN272201300017I), NICHD (HHSN275201000003I), the Biomedical Advanced Research and Development Authority (HHSO100201300009C), and industry for drug development in adults and children (https://scholars.duke.edu/person/michael.cohenwolkowiez).K.M.W. receives support from the National Institute of Child Health and Human Development (1R01HD097775, 1K23HD075891) and the U.S. government for his work in pediatric and neonatal clinical pharmacology (Government Contract HHSN267200700051C, PI: Benjamin, under the Best Pharmaceuticals for Children Act).D.K.B. receives support from the National Institutes of Health (award 2K24HD058735–10, National Institute of Child Health and Human Development (HHSN275201000003I), National Institute of Allergy and Infectious Diseases (HHSN272201500006I), ECHO Program (1U2COD023375–02), and the National Center for Advancing Translational Sciences (1U24TR001608–03); he also receives research support from Cempra Pharmaceuticals (subaward to HHSO100201300009C) and industry for neonatal and pediatric drug development, https://scholars.duke.edu/person/danny.benjamin.M.L.B. receives support from the National Institutes of Health (National Institute of Child Health and Human Development (R01HD089928) and the National Center for Advancing Translational Sciences (1U24TR001608–03); she also has a consulting agreement in place with Swedish Orphan Biovitrium for pharmacokinetic consultation for anakinra in the pediatric population.C.T. received support for research from the Empire Clinical Research Investigator Program, Cures Within Reach, and the Gerber Foundation.P.B.S. receives support from the National Institutes of Health (5U2COD023375–03).K.O.Z. receives support from the National Institutes of Health (National Institute of Child Health and Human Development (K23 HD091398, HHSN275201000003I), the Duke Clinical and Translational Science Award (KL2TR001115–03), and industry for neonatal and pediatric drug development, https://scholars.duke.edu/person/kanecia.obie.
Preview

Abstract

Adverse drug events are common in critically ill children and often result from systemic or target organ drug exposure. Methods of drug dosing and titration that consider pharmacokinetic alterations may improve our ability to optimally dose critically ill patients and reduce the risk for drug-related adverse events. To demonstrate this possibility, we explored the exposure-response relationship between midazolam and delirium in critically ill children. We retrospectively examined electronic health records (EHRs) of critically ill children <18 years of age hospitalized in the pediatric intensive care unit at Duke University; these children were administered midazolam during mechanical ventilation and had ≥1 Cornell Assessment of Pediatric Delirium (CAPD) score. We used individual-level data extracted from the EHR and a previously published population pharmacokinetic (PK) model developed in critically ill children to simulate plasma concentrations at the time of CAPD scores in 1,000 representative datasets. We used multilevel repeated measures models, with clustering at patient and simulation levels, to evaluate the associations between measures of drug exposure (e.g., concentration and area under concentration time curve) and delirium scores. We included 61 children, median age 1.5 years (range = 0.1–16.3), with 181 CAPD assessments. We identified similarities between simulated Empirical Bayesian parameter estimates from the EHR cohort and those from the PK model population. We identified a stronger association between drug concentration at the time of score and CAPD scores (coefficient 1.78; 95% confidence interval: 1.66–1.90) compared with cumulative dose per kilogram and CAPD scores (coefficient −0.01; 95% confidence interval: −0.01 to −0.01). EHR and PK models can be leveraged to investigate exposure-response relationships in critically ill children.

Supplementary Material



Publication History

Received: 10 November 2020

Accepted: 21 January 2021

Article published online:
17 March 2021

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